Noktse

Noktse — CS2 Stats

PRO“noki”BESTIAArgentinaIGLSettings & gear profile →

76561198014498951[U:1:54233223]Steam profile ↗✓ No bans

2,494Tracked matches57%Win rate2020Tracked since
24,000Hours in CS
CSDB Rating7.1 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 2,494
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

39Days played since 2025-10-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches63——
Win rate43%——
K/D1.07——
Headshot %42%——

Measured 13 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate61.0%50.9%
Shot accuracy19.8%13.7%
Kill/death ratio0.881.09
Match win rate55.4%48.4%

Share this profile

CSDB.GGNoktseFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning62
Utility73

0–100 skill scores via Leetify.

Recent form

COLD56–43–1Last 10056%Win rateLWWLLLLLWL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +4.3pp headshot accuracy · −17ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 33%
  • Avg reaction 397ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 441ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 450ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim8.6
Utility7.3
Positioning6.2
Opening Duels4.7
Clutch3.8

Sharp aimerStrong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.6
Positioning6.2
Utility7.3
Mechanics7.4
Opening Duels3.7
Win Impact7.2

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time485ms−47ms
first ⅓ avg 532ms → last ⅓ avg 485ms
Headshot accuracy26.1%+2.2%
first ⅓ avg 24.0% → last ⅓ avg 26.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–0 · dust2, 25 Jun →
54%Best headshot accuracy · 1–13 · dust2, 17 Sept →
344msFastest reaction time · 13–9 · ancient, 20 Dec →
13–0Biggest win · dust2, 25 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 68% over 31infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S3121–1068%-0.01
ancientA1811–761%-0.01
nukeA1610–663%-0.01
infernoC166–1038%-0.02
mirageB136–746%-0.01
overpassC52–340%-0.05
cache—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

593,487Lifetime kills
0.88K/D
9,103Matches
55.4%Match win rate · Top 10% of Level 10 players
61.0%Headshot % · Top 25% of Level 10 players
19.8%Shot accuracy · Top 5% of Level 10 players
31,405MVPs
24,000Hours (in match)
17,157Bombs planted
3,181Bombs defused

Most-used weapons

AK-47271,964
AWP144,961
P25013,354
Knife5,800
SSG 084,783
UMP-454,136

Lifetime map wins

25,261dust2
24,995inferno
13,359nuke
10,579train
5,629cbble
77vertigo
30italy
15office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,643Matches
53%Win rate
1.18Avg K/D
81.8ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage83949%1.2116.4
Dust248060%1.3517.1
Ancient23455%1.2116.1
Anubis19852%1.1415.4
Nuke12056%1.1615.1
Inferno5157%1.1415.3
Overpass1968%1.3414.8
Cache560%1.8318.6

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$6,182Inventory value23ItemsFull inventory breakdown →
★ Butterfly Knife | Gamma Doppler (Factory New)$1,808★ Specialist Gloves | Crimson Kimono (Field-Tested)$1,703★ Sport Gloves | Ultra Violent (Field-Tested)$1,573M4A1-S | Hyper Beast (Factory New)$435Glock-18 | Gamma Doppler (Factory New)$184AK-47 | The Empress (Minimal Wear)$158

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
32.9%Spray accuracy
83.2%Counter-strafing
9.3°Preaim
481msReaction time
29.6%T opening success
59.4%CT opening success
0.75Enemies flashed / flash
11.1%Flash assists
8.22HE damage / grenade
21.93Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.6329% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0829%7 Oct →
dust213–80.0021%6 Oct →
dust213–90.0125%29 Sept →
dust21–13-0.0554%17 Sept →
nuke10–13-0.0136%17 Sept →
nuke4–13-0.0427%17 Sept →
mirage11–13-0.0233%17 Sept →
cache8–13-0.0219%5 Sept →
dust216–13-0.0340%5 Sept →
inferno5–13-0.0817%5 Sept →
ancient11–13-0.0527%4 Sept →
dust213–50.0533%4 Sept →
inferno13–10-0.0322%4 Sept →
mirage9–130.0226%30 Aug →
dust213–10-0.0325%30 Aug →
inferno13–11-0.0215%30 Aug →
dust213–5-0.0237%28 Aug →
inferno13–50.026%28 Aug →
mirage16–14-0.0830%25 Aug →
dust213–30.0735%25 Aug →
dust213–70.0124%15 Aug →
mirage11–13-0.0141%23 Jul →
mirage19–150.0427%16 Jul →
mirage14–16-0.0118%14 Jul →
dust213–00.1220%25 Jun →
mirage19–15-0.0019%16 Jun →
nuke13–70.0024%8 Jun →
inferno8–13-0.0121%7 Mar →
ancient3–13-0.0336%7 Mar →
mirage13–50.0121%6 Mar →
dust213–10-0.0523%6 Mar →
inferno11–13-0.0419%6 Mar →
inferno9–13-0.0613%5 Mar →
dust27–13-0.0431%5 Mar →
inferno13–30.0326%5 Mar →
mirage13–7-0.0310%5 Mar →
mirage6–130.0025%26 Feb →
dust29–13-0.0218%26 Feb →
dust213–90.0235%25 Feb →
inferno13–80.0327%25 Feb →
ancient7–13-0.0234%25 Feb →
mirage12–16-0.0331%25 Feb →
dust26–13-0.0615%20 Feb →
inferno10–13-0.0526%20 Feb →
dust28–13-0.0323%20 Feb →
ancient16–13-0.0216%1 Feb →
inferno10–13-0.0219%1 Feb →
ancient19–16-0.0113%1 Feb →
nuke13–90.0229%1 Feb →
inferno6–13-0.0319%1 Feb →
ancient13–9-0.0135%30 Jan →
nuke4–0-0.0820%30 Jan →
inferno9–130.0123%30 Jan →
nuke13–8-0.0116%30 Jan →
dust213–7-0.0429%30 Jan →
nuke13–60.0344%24 Jan →
ancient6–13-0.0325%24 Jan →
inferno7–13-0.0227%24 Jan →
dust213–70.0126%23 Jan →
dust20–1-0.180%23 Jan →
nuke19–17-0.0517%23 Jan →
ancient6–13-0.0224%22 Jan →
nuke4–13-0.0431%22 Jan →
nuke6–13-0.0820%22 Jan →
dust213–70.0626%22 Jan →
overpass13–10-0.0322%22 Jan →
dust25–8-0.0115%21 Jan →
dust29–10.0629%21 Jan →
ancient13–10-0.0915%21 Jan →
dust213–11-0.0414%21 Dec →
ancient13–100.0827%21 Dec →
ancient10–80.0132%21 Dec →
nuke13–10.0631%21 Dec →
ancient13–9-0.0117%20 Dec →
mirage6–13-0.066%20 Dec →
dust213–16-0.0240%20 Dec →
mirage13–60.0343%19 Dec →
dust216–13-0.0218%19 Dec →
overpass3–13-0.139%19 Dec →
dust213–9-0.016%19 Dec →
nuke13–60.0537%19 Dec →
nuke13–30.0335%18 Dec →
dust213–70.0138%18 Dec →
dust25–5-0.027%20 Nov →
overpass5–13-0.0541%20 Nov →
ancient19–22-0.0326%20 Nov →
dust28–6-0.0512%20 Nov →
overpass13–4-0.0513%15 Nov →
ancient13–8-0.0231%15 Nov →
inferno13–9-0.0137%14 Nov →
overpass6–130.0021%14 Nov →
ancient3–00.040%13 Nov →
ancient10–11-0.0429%13 Nov →
nuke7–13-0.0122%13 Nov →
dust210–130.0128%13 Nov →
ancient13–10.0521%11 Nov →
nuke13–7-0.0024%11 Nov →
dust213–6-0.0426%10 Nov →
ancient13–30.0330%10 Nov →
inferno8–13-0.0226%28 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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